CY/T 174-2019 in English
VALIDAcademic publishing specification - Definition of academic misconduct for journals
- Issued on:2019-05-29
- Implemented on:2019-07-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$204.00
本标准界定了学术期刊论文作者、审稿专家、编辑者所可能涉及的学术不端行为。 本标准适用于学术期刊论文出版过程中各类学术不端行为的判断和处理。其他学术出版物可参照使 用。
Introduction
Analysis of the Standard Core Framework
| Subject Types | Major Behavior Categories | Subdivided Clauses | Typical Scenarios |
|---|---|---|---|
| Paper Authors | Plagiarism | 7 Types | Viewpoint Reorganization, Data Fine-tuning, Image Splicing, etc. |
| Forgery and Tampering | 9 Detailed Rules | Fabrication of Experimental Data, Modification of Parts of Images, etc. | |
| Issues on Signatures | 5 Situations | Name-dropping, Ranking Disputes, False Titles, etc. |
Technical Definition of Plagiarism
The standard innovatively divides plagiarism into 7 subtypes, among which the determination of plagiarism of textual expression must simultaneously meet the following requirements:
1) Use of complete semantic units
2) Failure to cite reasonably
3) Non-common sense expression
Comparison of Typical Cases
| Behavior Type | Compliance Practice | Violation Threshold |
|---|---|---|
| Data Plagiarism | Cite source data and explain the processing method | ≥3 consecutive data points are the same |
| Method Plagiarism | Cite literature and improve core parameters | Non-core element modification ≤ 20% |
Standard implementation recommendations
1. System construction: Journals should establish a three-level review mechanism, including:
- Text similarity detection in the initial review stage
- Feasibility verification of the method in the external review stage
- Ethical review in the final review stage
2. Technical prevention: It is recommended to adopt:
- Image integrity verification tools (such as Forensic Droplets)
- Data outlier analysis system
- Author contribution statement template

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